The project uses CIC chat room logs and prepares knowledge sources for use by learning algorithms. It develops and validates performance of knowledge-intensive statistical relational learning algorithms (for chat classification and chat room summarization). Group members are designing the auditory, visual, and Notification Manager components for cueing watchstanders on any display. Finally, the various components are being integrated into NRL’s watchstation test bed. The group finally conducts empirical verification studies with human subjects to assess the efficacy of the learned classifiers, chat room summarization displays, and cueing methods.